Hire Top Data Engineers & Data Scientists
Power your data infrastructure with Kovil AI’s pre-vetted data engineers and data scientists. From building scalable data pipelines to advanced analytics and AI-ready data platforms — our talent is ready to join your team in 48 hours.
Why Hire Data Engineers from Kovil AI?
Data engineering remains one of the highest-paying tech roles with 20% projected job growth this decade. Average salaries range from $125K to $200K+, and qualified candidates are genuinely scarce. Kovil AI gives you instant access to the top 3% of data engineering talent at up to 40% cost savings — without the months-long hiring cycle.
Data Roles We Staff
- Data Engineers — Build and maintain scalable ETL/ELT pipelines, data warehouses, and data lakes
- Data Scientists — Develop predictive models, statistical analysis, and data-driven insights
- Analytics Engineers — Bridge data engineering and analytics with dbt, data modeling, and BI tooling
- Data Platform Engineers — Design self-service data platforms and internal data infrastructure
- ML Data Engineers — Build feature stores, manage training datasets, and implement data quality pipelines for ML
- Streaming Data Engineers — Build real-time data pipelines with Kafka, Spark Streaming, and Flink
- DataOps Engineers — Implement data pipeline automation, monitoring, testing, and CI/CD for data
Core Skills & Technologies
Our data engineers and scientists are proficient in:
- Languages: Python, SQL, Scala, Java, R
- Cloud Platforms: AWS (Redshift, Glue, EMR), GCP (BigQuery, Dataflow), Azure (Synapse, Data Factory)
- Data Warehouses: Snowflake, Databricks, Redshift, BigQuery
- Orchestration: Apache Airflow, Dagster, Prefect, dbt
- Streaming: Apache Kafka, Spark, Flink, Kinesis
- Big Data: Hadoop, Spark, Delta Lake, Iceberg
Industries We Serve
Our data talent has delivered enterprise-grade solutions for fintech, e-commerce, healthcare, logistics, SaaS platforms, and AI-driven companies. Whether you need a real-time analytics pipeline, a data lakehouse architecture, or ML-ready feature engineering — we have specialists for every use case.
How It Works
- Share Your Requirements — Tell us about your data stack, project scope, and timeline
- Get Matched in 48 Hours — We match you with pre-vetted data engineers from our talent pool
- Start Building — Your engineer integrates with your team and starts delivering from day one
- 14-Day Risk-Free Trial — If you’re not satisfied, we’ll find a replacement at no cost
Ready to Hire Data Engineers?
Stop competing for scarce data talent on job boards. Get matched with top 3% data engineers and data scientists in 48 hours. Save up to 40% compared to US-based hiring.